Restoring consistency in systems of fuzzy gradual rules using similarity relations

被引：0
|
作者：
Drummond, I [1 ]
Godo, L
Sandri, S
机构：
[1] INPE, LAC, BR-12201970 Sao Jose Dos Campos, Brazil
[2] CSIC, IIIA, Bellaterra 08193, Spain
来源：
ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2002年 / 2507卷
关键词：
fuzzy rule-based systems; gradual rules; inconsistency; similarity;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present here a method that uses similarity relations to restore consistency in fuzzy gradual rules systems: we propose to transform potentially inconsistent rules by making their consequents more imprecise. Using a suitable similarity relation we obtain consistent rules with a minimum of extra imprecision. We also present an application to illustrate the approach.
引用
收藏
页码：386 / 396
页数：11
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